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undergraduate thesis
Umjetne neuronske mreže u prepoznavanju teksta
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2019. urn:nbn:hr:235:518061
Fraćin, Mario Branimir
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Fraćin, M. B. (2019). Umjetne neuronske mreže u prepoznavanju teksta (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:518061

Fraćin, Mario Branimir. "Umjetne neuronske mreže u prepoznavanju teksta." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2019. https://urn.nsk.hr/urn:nbn:hr:235:518061

Fraćin, Mario Branimir. "Umjetne neuronske mreže u prepoznavanju teksta." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2019. https://urn.nsk.hr/urn:nbn:hr:235:518061

Fraćin, M. B. (2019). 'Umjetne neuronske mreže u prepoznavanju teksta', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 02 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:518061

Fraćin MB. Umjetne neuronske mreže u prepoznavanju teksta [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2019 [cited 2024 November 02] Available at: https://urn.nsk.hr/urn:nbn:hr:235:518061

M. B. Fraćin, "Umjetne neuronske mreže u prepoznavanju teksta", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:235:518061

Metadata
TitleUmjetne neuronske mreže u prepoznavanju teksta
Title (english)Artificial neural networks in text recognition
AuthorMario Branimir Fraćin
MentorDubravko Majetić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2019-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Tema ovog završnog rada je upotreba umjetnih neuronskih mreža pri prepoznavanju rukom pisanih brojeva i teksta. Uvodno poglavlje daje uvid u sam problem, te ukratko opisuje strukturu i podjelu umjetnih neuronskih mreža. U drugom poglavlju je sam problem prepoznavanja brojki i slova detaljnije opisan, i uz njega su prikazana područja primjena u kojima se danas koriste takvi algoritmi. Zatim je provedena analiza najčešće korištenih algoritama u opisanom području istraživanja. Algoritmi dubokog učenja korišteni u programskoj podršci ovog rada su detaljnije obrađeni u trećem poglavlju, a za ostale suvremene algoritme je dan pregled visoke razine te je ukratko opisan njihov način rada. Konačno, u zadnjem poglavlju su izneseni rezultati rada različitih struktura umjetnih neuronskih mreža za rješavanje navedenog problema koristeći varijacije značajnih parametara. Modeli spomenutih struktura kreirani su u programskom paketu Python koristeći biblioteku TensorFlow uz razne dodatne biblioteke.
Abstract (english)
The topic of this thesis is the application of artificial neural networks in handwritten character and digit recognition. The problem is presented in the introductory chapter, along with types and structures of artificial neural networks. Second chapter gives a deeper insight to the problem of digit and character recognition, and describes contemporary applications of such technologies. The analysis of most commonly used algorithms in the described field of research is given afterwards. Deep learning methods used in this thesis are thoroughly analyzed in the third chapter, along with a high level overview of other contemporary algorithms and their operating principles. Finally, the last chapter contains the results of different structures of neural networks for the given problem with variations to the most important parameters. Models of previously mentioned structures are created in the programming language Python combined with a machine learning library TensorFlow, along with various additional libraries.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:518061
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-09-23 09:09:40